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Record W4224236189 · doi:10.1093/arclin/acac022

A Forced Choice Performance Validity Test for the Repeatable Battery for the Assessment of Neuropsychological Status

2022· article· en· W4224236189 on OpenAlexafffund
Timothy A. Crowell, Alex R. Terpstra

Bibliographic record

VenueArchives of Clinical Neuropsychology · 2022
Typearticle
Languageen
FieldMedicine
TopicDementia and Cognitive Impairment Research
Canadian institutionsUniversity of British Columbia
FundersCanadian Institutes of Health Research
KeywordsRepeatable Battery for the Assessment of Neuropsychological StatusNeurocognitivePsychologyNeuropsychologyClinical psychologyNeuropsychological testCognitionTest (biology)Psychiatry

Abstract

fetched live from OpenAlex

OBJECTIVE: We aimed to assess the utility of a novel and easy-to-administer performance validity test (PVT), the Repeatable Battery for the Assessment of Neuropsychological Status (RBANS) Forced Choice recognition trial (RFC), compared with previously developed RBANS PVTs. METHOD: We compared the RFC with the RBANS Effort Index (EI) and Effort Scale (ES) in a sample of 62 non-litigating older adults (mean age = 74 years, 52% female) with varying levels of cognitive impairment. RESULTS: A significantly greater proportion of the sample met EI criteria for non-credible performance (EI > 2; 31%) compared with RFC criteria (RFC < 9; 15%). Among participants with Major Neurocognitive Disorder, 60% met EI criteria for non-credible performance, 32% met ES criteria (ES > 12), and 24% met RFC criteria. CONCLUSIONS: The RFC may have greater specificity than other RBANS PVTs among individuals with more severe cognitive impairment. Further research is needed to establish the classification accuracy of the RFC for assessing performance validity.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Methods · Consensus signal: none
Teacher disagreement score0.004
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.014
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.149
GPT teacher head0.482
Teacher spread0.333 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreMethods

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2022
Admission routes2
Has abstractyes

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